Robust Training of Graph Neural Networks via Noise Governance.
Siyi Qian|Haochao Ying|Renjun Hu|Jingbo Zhou|Jintai Chen|Danny Z. Chen|Jian Wu
| Anthology ID: | DBLP:conf/wsdm/QianYHZCC023 |
|---|---|
| Volume: | Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023. |
| Year: | 2023 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 607-615 |
| URL: | https://doi.org/10.1145/3539597.3570369 |
| DOI: | https://doi.org/10.1145/3539597.3570369 |
| DBLP: | conf/wsdm/QianYHZCC023 |
| BibTeX: |
@inproceedings{qian-2023-robust,
author = {Siyi Qian and
Haochao Ying and
Renjun Hu and
Jingbo Zhou and
Jintai Chen and
Danny Z. Chen and
Jian Wu},
editor = {Tat-Seng Chua and
Hady Wirawan Lauw and
Luo Si and
Evimaria Terzi and
Panayiotis Tsaparas},
title = {{Robust Training of Graph Neural Networks via Noise Governance}},
booktitle = {{Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023}},
pages = {607--615},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539597.3570369},
doi = {https://doi.org/10.1145/3539597.3570369}
}